No abstract

Cancer is now viewed as a systems biology disease, and oral squamous cell carcinoma (OSCC) can be viewed in a similar fashion. In this paper, we highlight some of the novel molecular events in OSCC, revealed through an integrative strategy of systems biology based on high-throughput omics analysis such as genomics and/or proteomics, the most powerful hypothesis-generating means available today. These approaches have resulted not only in the identification of novel genes for OSCC, but also in more comprehensive networks that describe the mechanisms by which those identified events work, with the promise of developing this knowledge into biomarkers for diagnosis, prognosis, and prediction of therapeutic responses in OSCC patients. Long-term, population-based prospective studies of OSCC patients, and those at high risk of developing OSCC, will then be needed to validate these biomarkers.

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The yield line analysis method is adopted to develop expressions for predicting yield load of bolted I-section web as the connecting face governs the failure of such connection. The proposed expressions are studied by varying the ratio, , of the bolt gauge width to the effective width of the web. By introduction of connecting face deformation limit, the comparison of the yield loads predicted by theoretical expressions and finite element analysis are demonstrated a satisfactory result for practical design. Thus, the yield load predicted by proposed expressions can be used as the basis for design of the bolted connections to I-section webs.